Skip to content
Co-located with the 13th International Conference on Formal Ontology in Information Systems (FOIS 2023) 
July 17-20, 2023 (Sherbrooke, Québec, Canada)

Artificial Intelligence (AI), Knowledge Modeling (KM), Information Extraction (IE) and Process Mining (PM) methods are increasingly important for many sub-domains of legal informatics, including ontologies, argumentation, natural language processing, legal event log analysis, eventually paired with a multilingual approach. The Knowledge Management and Process Mining for Law (KM4LAW) workshop intends to be a forum to focus on legal informatics from different perspectives.

The advanced developments in AI over recent years have meant that seemingly insurmountable problems in AI & Law are beginning to be addressed. Accordingly, it is necessary to identify the limits of automated systems and how such systems can handle the remaining unsolved intentional and unintentional ambiguities and conflicts that require legal interpretation. Therefore, research works on the limits and unexplored opportunities offered by AI for the representation of knowledge in the legal domain constitute worthwhile contributions for this workshop.

Typical goals may include: classification of legal sources, legal design and legal ontologies, similarity among legal decisions and clustering, prediction and support during judicial decision making, legal interpretation support, identification of evolution of legal concepts and definitions over time, information extraction and classification, process mining for legal compliance, detection of linguistic phenomena and patterns in legal sources, multilingual alignments of concepts on domestic and international legal sources, identification of legal references and network analysis.


This workshop focuses on the wide-ranging topic of AI, KM, IE, and PM methods in the legal informatics and legal-linguistics fields. AI & Law involves a variety of sub-domains, including ontologies, argumentation, legal design, legal prediction, network analysis, and neural networks. The challenging task of automatically extracting knowledge in textual documents has traditionally been addressed by NLP techniques. Given the complexity and vagueness of legal sources, extracted knowledge can be formalised into ontological models for many purposes, including access to rights and understandability of requirements in administrative procedures. 

The academic interest in legal informatics has been increasing over the last decades. The application of innovative technologies for processing legal documents and AI methods applied to legal issues can support the work of public administrations and private companies in the legal field. Informatics facilitates access to and understandability of legal knowledge, including judgments, recommendations, legislation, citizens’ constitutional rights, and soft law. Legal ontologies, for instance, highlight the nature of links between legal norms; the application of specific algorithms supports semi-automatic interpretation of legal provisions and prediction of judicial decisions. Digital justice and digital law improve the daily work of public administrations, judges and law firms by speeding up the resolution of legal issues, including support for legal compliance and access to complex and extensive legal knowledge. Likewise, the digitalization of law has a socio-political impact by making legal knowledge accessible to a broader audience of citizens, increasing the opportunity to express themselves, and raising awareness of prominent legal issues. 



1st edition
KM4LAW – The Knowledge Management for Law workshop
23rd International Conference on Knowledge Engineering and Knowledge Management
26-29 September 2022 – Bozen-Bolzano, Italy


Special Issue 2022 – KM4LAW